class_docstr: Start a pipeline
  
  :param task: ID of the task on which the pipeline will be based
  :type task: str
  :param queue: Queue ID in which the created pipeline task will be enqueued
  :type queue: str
  :param args: Task arguments, name/value to be placed in the hyperparameters
      Args section
  :type args: Sequence[dict]
class_docstr_tok: ["Start","a","pipeline",":","param","task",":","ID","of","the","task","on","which","the","pipeline","will","be","based",":","type","task",":","str",":","param","queue",":","Queue","ID","in","which","the","created","pipeline","task","will","be","enqueued",":","type","queue",":","str",":","param","args",":","Task","arguments",",","name\/value","to","be","placed","in","the","hyperparameters","Args","section",":","type","args",":","Sequence","[","dict","]"]
code: def task(self):
      return self._property_task
  
file_path: clearml/clearml/backend_api/services/v2_20/pipelines.py
imports: import six
  from clearml.backend_api.session import Request, Response, schema_property
label_desc: Use image node_id 2 for calling the StartPipelineRequest obj's underlying member method code with example usage: obj.task() and returns: self